Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks
1
Department of Computer Science, University Carlos III of Madrid, 28911 Leganes, Spain
2
Department of Electronic Technology, University Carlos III of Madrid, 28911 Leganes, Spain
3
Higher Colleges of Technology, Abu Dhabi Women’s College, Abu Dhabi 41012, United Arab Emirates
*
Author to whom correspondence should be addressed.
†
Current address: Department of Computer Science, University Carlos III of Madrid, Avda. de la Universidad, 30, 28911 Leganés, Madrid, Spain.
‡
These authors contributed equally to this work.
Sensors 2019, 19(9), 2033; https://doi.org/10.3390/s19092033
Received: 24 March 2019 / Revised: 21 April 2019 / Accepted: 23 April 2019 / Published: 30 April 2019
(This article belongs to the Section Internet of Things)
Today, medical equipment or general-purpose devices such as smart-watches or smart-textiles can acquire a person’s vital signs. Regardless of the type of device and its purpose, they are all equipped with one or more sensors and often have wireless connectivity. Due to the transmission of sensitive data through the insecure radio channel and the need to ensure exclusive access to authorised entities, security mechanisms and cryptographic primitives must be incorporated onboard these devices. Random number generators are one such necessary cryptographic primitive. Motivated by this, we propose a True Random Number Generator (TRNG) that makes use of the GSR signal measured by a sensor on the body. After an exhaustive analysis of both the entropy source and the randomness of the output, we can conclude that the output generated by the proposed TRNG behaves as that produced by a random variable. Besides, and in comparison with the previous proposals, the performance offered is much higher than that of the earlier works.
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Keywords:
Galvanic Skin Response (GSR); entropy; randomness; Random Number Generators (RNG); Hilbert transform
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Camara, C.; Martín, H.; Peris-Lopez, P.; Aldalaien, M. Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks. Sensors 2019, 19, 2033. https://doi.org/10.3390/s19092033
AMA Style
Camara C, Martín H, Peris-Lopez P, Aldalaien M. Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks. Sensors. 2019; 19(9):2033. https://doi.org/10.3390/s19092033
Chicago/Turabian StyleCamara, Carmen; Martín, Honorio; Peris-Lopez, Pedro; Aldalaien, Muawya. 2019. "Design and Analysis of a True Random Number Generator Based on GSR Signals for Body Sensor Networks" Sensors 19, no. 9: 2033. https://doi.org/10.3390/s19092033
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